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Learn how CSPs use autonomous network monitoring on top of the OSS to achieve a holistic view across domains for real time detection of service-impacting incidents across the network

With COVID-19 creating increased demand on broadband consumer networks, CSPs are starting to realize the benefits of autonomous network monitoring.

Real-time service experience monitoring ensures lightning-fast detection of the incidents that impact your customers and revenue so that you can scale quickly and deliver great customer experience at the same time.

In the third part of the correlation series, we examine how telcos can leverage correlation analysis in their anomaly detection to surface hard-to-detect network incidents and prevent customer churn.

T-Mobile, Company Booster and Anodot discuss AI/ML’s value to network monitoring and the future of 5G monitoring

As CSPs realize the benefits they can achieve from AI-based network monitoring they are faced with the immediate question: build our own system — or buy one? We outline the benefits and drawbacks of each approach, providing both the calculations and conceptual considerations you need to weigh in order to achieve the right decision for your organization.

In this webinar, T-Mobile’s CTIO, Dr. Kim Larsen discusses with Chief Data Scientist Ira Cohen, his experience in implementing the steps towards a zero touch network.

Learn how AI and machine learning are enabling critical capabilities, such as real-time anomaly detection and forecasting, to meet rising challenges in the telecom market.

Learn how AI and machine learning are enabling critical capabilities, such as real-time anomaly detection and forecasting, to meet rising challenges in the telecom market.